2,250 research outputs found
Analisi e sviluppo di metodologie di diagnosi, telecontrollo e gestione energetica di Smart Building Networks, in ambito residenziale e terziario
No full textIl Dottorato svolto è di tipo applicativo sperimentale e nasce dall’esigenza di risolvere problemi reali. In linea con il Strategy Energy Technology Plan, il coinvolgimento dell’utente nelle politiche energetiche è diventata la prima priorità. Questo lavoro si inerisce nelle attività svolte congiuntamente da ENEA, l’Università Politecnica Delle Marche e l’azienda Apio. Le attività del mio dottorato, hanno riguardato principalmente due ambiti applicativi: “Smart Buildings” e “Smart Homes Network”. Dopo uno studio preliminare dello stato dell’arte, si procederà alla configurazione, implementazione, gestione e controllo di un dimostrativo sperimentale di una rete di Smart Homes in un quartiere di Roma. All'utente e alla comunità verranno forniti una serie di feedback costruttivi. L’obiettivo sarà quello di incentivare la consapevolezza energetica e trasformare ogni utente da semplice consumatore in un attore attivo nel mercato dell'energia. L’analisi dei dati di tali edifici residenziali pilota, evidenzierà una media di -8% dei consumi elettrici ottenuti. Al fine di incentivare il risparmio energetico, migliorare l’accettabilità del sistema e la qualità della vita degli utenti finali, si introdurranno una serie di servizi aggiuntivi, in particolare in ambito Assisted Living per la misurazione dei parametri vitali e la condivisione direttamente con l’esterno tramite lo sviluppo di un’interfaccia adattiva; in ambito sicurezza domestica, gestendo situazioni di potenziale rischio; ed infine, introduzione dei comandi vocali. Sarà poi condotto uno studio e progettazione di sevizi sulla flessibilità elettrica dell'utente per modellare la propria richiesta di energia in base alla domanda del mercato elettrico. Sarà effettuato uno studio di Diagnostica Low Level per il riconoscimento di malfunzionamenti. Sarà implementato anche l’interfacciamento con una “Smart City Platform” di livello superiore, definendo anche i casi d’uso per gli scambi di dati per l’interoperabilità. Sarà, inoltre sviluppata una proposta brevettuale su un Idro Smart meter che si prefiggerà vari obiettivi innovativi,trai quali quello di disaggregare sia i consumi idrici che quelli delle altre utenze. Infine, sarà condotto uno studio e implementazione di prediction sulla domanda elettrica al fine di prevedere la domanda elettrica trioraria delle abitazioni, partendo da dati reali di energia generale trioraria. I migliori risultati si otterranno utilizzando reti di deep learning con memoria a lungo termine LSTM. In ambito “Smart Buildings”,si lavorerà dapprima su un edificio terziario reale simulato, studiando scenari futuri di demand/response. In particolare sarà studiata l’ottimizzazione della climatizzazione dell’edificio, riscontrando un risparmio medio “teorico” di 16% rispetto al caso di riferimento. Successivamente, lo stesso edificio simulato, sarà equipaggiato con vari sensori sia a livello di quadro che di singola stanza, che renderanno possibile l’introduzione di regole di controllo. Si proseguirà con la definizione di una procedura di Fault Detection per verificare la corretta implementazione dei comandi sequenziali impartiti dal sistema di controllo. Saranno esaminati i casi più innovativi in ambito Blockchain e DLT (Distributed Ledger Technologies), riassunti da una swot analysis. Inoltre, sarà realizzato un “Proof of Concept” basato su tecnologia Blockchain per la certificazione della flessibilità energetica degli utenti elettrici. Sarà inoltre sviluppata un’interfaccia interattiva per controllare real time, tramite la visualizzazione su planimetria, i dispositivi installati nell’edificio. Si implementerà inoltre l’interfacciamento tra il sistema FV e il sistema di gestione dello smart building. Infine sarà realizzata un’applicazione di smart Windows nell’edificio F40,ottenendo livelli termici complessivi circa 2°C inferiori. The doctorate carried out is of an experimental application type and arises from the need to solve real problems. In line with the Strategy Energy Technology Plan, user involvement in energy policies has become the first priority. This work is inherent in the activities carried out jointly by ENEA, the Polytechnic University of Marche and the Apio company. My PhD activities mainly concerned two application areas: “Smart Buildings” and “Smart Homes Network”. After a preliminary study of the state of the art, we will proceed with the configuration, implementation, management and control of an experimental demonstration of a network of Smart Homes in a neighborhood of Rome. Constructive feedback will be provided to the user and community. The goal will be to encourage energy awareness and transform every user from a simple consumer into an active player in the energy market. The analysis of the data of these pilot residential buildings will show an average of -8% of the electricity consumption obtained. In order to incentivize energy saving, improve the acceptability of the system and the quality of life of end users, a series of additional services will be introduced, in particular in the Assisted Living area for the measurement of vital parameters and the sharing directly with the external by developing an adaptive interface; in the field of home security, managing situations of potential risk; and finally, introduction of voice commands. A study and design of services will then be conducted on the electrical flexibility of the user to model their energy demand based on the demand of the electricity market. A Low Level Diagnostic study will be carried out for the recognition of malfunctions. Interfacing with a higher level "Smart City Platform" will also be implemented, also defining use cases for data exchanges for interoperability. A patent proposal will also be developed on a Hydro Smart meter that will set various innovative objectives, including that of disaggregating both water consumption and that of other users. Finally, a study and implementation of prediction on electricity demand will be carried out in order to predict the three-hour electricity demand of homes, starting from real three-hour general energy data. The best results will be obtained using deep learning networks with LSTM long-term memory. In the field of “Smart Buildings”, we will first work on a simulated real tertiary building, studying future demand / response scenarios. In particular, the optimization of building air conditioning will be studied, finding an average "theoretical" saving of 16% compared to the reference case. Subsequently, the same simulated building will be equipped with various sensors both at the switchboard and single room level, which will make it possible to introduce control rules. We will continue with the definition of a Fault Detection procedure to verify the correct implementation of the sequential commands given by the control system. The most innovative cases in Blockchain and DLT (Distributed Ledger Technologies) will be examined, summarized by a swot analysis. Furthermore, a “Proof of Concept” based on Blockchain technology will be created to certify the energy flexibility of electricity users. An interactive interface will also be developed to control the devices installed in the building in real time, through the visualization on the floor plan. The interface between the PV system and the smart building management system will also be implemented. Finally, a smart Windows application will be implemented in the F40 building, obtaining overall thermal levels about 2 ° C lower. 
'Smart Street' Pilot Site: A RAMS Analysys for a Scale-Upconfiguration
No full textThis paper develops the scale-up of the 'Smart Street' pilot site under the RAMS point of view: The combination of Reliability Analysis and FMECA allows to identify the exact configuration to scale up systems without incurring in marginally reliable configurations
A RAMS analysis for a precision scale-up configuration of the ‘Smart Street’ pilot site: An industry 4.0 case study
No full textIn order to develop a scale-up for a ‘Smart Street’ pilot site, we perform a RAMS analysis: the combination of Reliability Analysis and FMECA helps to identify the best configuration to scale up systems without incurring in marginally reliable configurations, allowing refining an Industry 4.0 Case Study
Martina Drijverová and her literary works for children (author´s portrait)
No full textThis thesis Martina Drijverova and her literatur for children (the author´s portrait) is engaged in work of writer and screenwriter Martina Drijeverová. She is an excellent writer of literature for children. In the first part of this work her story writing is mentioned and the second part deals with her fairy-tale writing. The other author´s work written for children is in the third part. The conclusion of this thesis appreciates the author´s credit in literature for chidlren. Analysis of some books are available. The supplementary part is composed of autor´s biography and her photograph, some book covers, list of the autor´s work {--} televiews, radio plays and serials, audio tapes and CDs, stage plays, books written in Braille
HERStory Makers 2022: Martina Čagalj
No full textMartina Čagalj is a PhD candidate at the University of Split studying seaweeds as a potential source of bioactive compounds. She took part in HERStory Makers 2022.What is HERStory Makers?HERStory Makers is a social media competition for female-identifying early career researchers to share their research, their career journeys, and to inspire the next generation. Winners are selected by public vote. HERStory Makers is also part of EXPLORATHON, Scotland's contribution to European Researchers' Night.In 2022-23, EXPLORATHON was supported by the Engineering & Physical Sciences Research Council [grant number EP/X020894/1].Author contributions to contentMartina Čagalj conceived, planned, and recorded the video content. Kirsty Ross edited the video content to insert HERStory Maker credits, add subtitles, and maintain video length below Twitter/X limit of 2 mins and 20 secs, prior to scheduling the social media posts.</p
A smart home services demonstration: Monitoring, control and security services offered to the user
No full textThe Italian Ministry of Economic Development and the Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA) have entered into a Program Agreement for the execution of the research and development lines of General Interest for the national electricity system. In particular, as part of the "Development of an integrated model of the Urban Smart District" project, an experimental demonstration of a Smart Home network has been carried out in the Centocelle district of Rome, called "Centocelle Smart Home". This project aims to develop a replicable model of Smart Home able to monitor energy consumption, the degree of comfort and safety in residential buildings, transmitting them to a higher level technological platform where data are analyzed and aggregated to provide a series of feedbacks to the user and to the community. The objective is to reduce the final consumption of energy (electric and thermal) of domestic consumers through a path of growth of energy awareness, also providing additional services on security. This paper presents the architecture proposed in the ENEA project for monitoring the energy consumption and increasing the degrees of comfort and safety of domestic users. The proposed security service is presented here together with the developed "Out of Home" App
Flap vs. ""flapless"" surgical approach at immediate implants: a histomorphometric study in dogs
No full textAim To compare the remodeling of the alveolar process at implants installed immediately into extraction sockets by applying a flap or a ""flapless"" surgical approach in a dog model. Material and methods Implants were installed immediately into the distal alveoli of the second mandibular premolars of six Labrador dogs. In one side of the mandible, a full-thickness mucoperiosteal flap was elevated (control site), while contra-laterally, the mucosa was gently dislocated, but not elevated (test site) to disclose the alveolar crest. After 4 months of healing, the animals were sacrificed, ground sections were obtained and a histomorphometric analysis was performed. Results After 4 months of healing, all implants were integrated (n=6). Both at the test and at the control sites, bone resorption occurred with similar outcomes. The buccal bony crest resorption was 1.7 and 1.5 mm at the control and the test sites, respectively. Conclusions ""Flapless"" implant placement into extraction sockets did not result in the prevention of alveolar bone resorption and did not affect the dimensional changes of the alveolar process following tooth extraction when compared with the usual placement of implants raising mucoperiosteal flaps. To cite this article:Caneva M, Botticelli D, Salata LA, Souza SLS, Bressan E, Lang NP. Flap vs. ""flapless"" surgical approach at immediate implants: a histomorphometric study in dogs.Clin. Oral Impl. Res. 21, 2010; 1314-1319.doi: 10.1111/j.1600-0501.2009.01959.x.Sweden & Martina SRL, Due Carrare, Padova, ItalyARDEC, Ariminum Odontologica SRL, Rimini, Ital
Magnesium-enriched hydroxyapatite at immediate implants: a histomorphometric study in dogs
No full textAim To evaluate the influence of magnesium-enriched hydroxyapatite (MHA) (SintLife (R)) on bone contour preservation and osseointegration at implants placed immediately into extraction sockets. Material and methods In the mandibular pre-molar region, implants were installed immediately into extraction sockets of six Labrador dogs. MHA was placed at test sites, while the control sites did not receive augmentation materials. Implants were intended to heal in a submerged mode. After 4 months of healing, the animals were sacrificed, and ground sections were obtained for histomorphometric evaluation. Results After 4 months of healing, one control implant was not integrated leaving n=5 test and control implants for evaluation. Both at the test and the control sites, bone resorption occurred. While the most coronal bone-to-implant contact was similar between test and control sites, the alveolar bony crest outline was maintained to a higher degree at the buccal aspect of the test sites (loss: 0.7 mm) compared with the control sites (loss: 1.2 mm), even though this difference did not reach statistical significance. Conclusions The use of MHA to fill the defect around implants placed into the alveolus immediately after tooth extraction did not contribute significantly to the maintenance of the contours of the buccal alveolar bone crest. To cite this article:Caneva M, Botticelli D, Stellini E, Souza SLS, Salata LA, Lang NP. Magnesium-enriched hydroxyapatite at immediate implants: a histomorphometric study in dogs.Clin. Oral Impl. Res. 22, 2011; 512-517doi: 10.1111/j.1600-0501.2010.02040.x.Sweden & Martina SRL, Due Carrare, Padova, ItalyARDEC, Ariminum Odontologica SRL, Rimini, Ital
The role of data science in software development
No full textauthor: Martina WeberMasterarbeit Universität Innsbruck 201
The role of data science in software development
No full textauthor: Martina WeberMasterarbeit Universität Innsbruck 201
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